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Equipping the American Joint Committee on Cancer staging for resectable pancreatic ductal adenocarcinoma with tumor grade: a recursive partitioning analysis

机译：为美国癌症联合委员会的肿瘤分级可切除的胰管腺癌进行分期配置：递归划分分析

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1. Equipping the American Joint Committee on Cancer staging for resectable pancreatic ductal adenocarcinoma with tumor grade: a recursive partitioning analysis [J] . Chen Yu-Tong, Huang Ze-Ping, Zhou Zhi-Wei, Medical oncology . 2016,第11期

机译：用肿瘤级转移胰腺导管腺癌癌症癌症癌症分期委员会：递归分配分析
2. Equipping the American Joint Committee on Cancer Staging for Resectable Pancreatic Ductal Adenocarcinoma with Tumor Grade: A Novel Staging System [J] . Hu Ren, Chao-Rui Wu, Guo-Tong Qiu, Journal of oncology . 2020,第1期

机译：用肿瘤级配备可重置胰腺导管腺癌的癌症分期癌症委员会：一种新型分期系统
3. Refining the American Joint Committee on Cancer Staging Scheme For Resectable Pancreatic Ductal Adenocarcinoma Using Recursive Partitioning Analysis [J] . Yiquan Jiang, Yanhong Su, Yutong Chen, Journal of Cancer . 2017,第14期

机译：使用递归分区分析完善可切除的胰管腺癌的美国癌症分期方案联合委员会
4. A Heterotypic Model of the Pancreatic Ductal Adenocarcinoma Microenvironment for Investigating Stroma-Tumor Interactions and Therapeutic Strategies [C] . Cole Drifka, Kevin Eliceiri, Agnes Loeffler, Society for Biomaterials annual meeting and exposition . 2014

机译：胰腺导管腺癌微环境的异型模型，用于研究间质-肿瘤相互作用和治疗策略
5. Targeting Cell Cycle Checkpoints in Triple Negative Breast Cancer and Pancreatic Ductal Adenocarcinoma [D] . Chung, Sejin. 2019

机译：靶向三重阴性乳腺癌和胰腺导管腺癌中的细胞周期检查点
6. Equipping the American Joint Committee on Cancer staging for resectable pancreatic ductal adenocarcinoma with tumor grade: a recursive partitioning analysis [O] . Yu-Tong Chen, Ze-Ping Huang, Zhi-Wei Zhou, -1

机译：为美国癌症联合委员会的肿瘤分级可切除的胰管腺癌进行分期配置：递归划分分析
7. Refining the American Joint Committee on Cancer Staging Scheme For Resectable Pancreatic Ductal Adenocarcinoma Using Recursive Partitioning Analysis [O] . Yiquan Jiang, Yanhong Su, Yutong Chen, 2017

机译：通过递归分区分析炼制可重置胰腺导管腺癌的美国癌症分期方案联合委员会

Equipping the American Joint Committee on Cancer staging for resectable pancreatic ductal adenocarcinoma with tumor grade: a recursive partitioning analysis

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